Predicted Genetic Gain Report
Summary metrics
The following table allows you to review the different metrics calculated for the genetic gain analysis. You can filter the metrics using the search bar.
Predicted genetic gain
The following density plot allows you to see the expected change in the next generation compared to the current generation given the current genetic gain parameters (accuracy, intensity, genetic variance) obtained in a particular MET for the selected traits.
Selection differentials and expected response
DM_gravity
yield_ha
height_1st_branch
Barplot for metrics
The following barplot allows you to compare the parameters with respect to the classification variables.
DM_gravity
r
r2
sigmaG
meanG
max.G
cycleLength
i
R
PGG
nEnvs
nInds
nIndsSel
yield_ha
r
r2
sigmaG
meanG
max.G
cycleLength
i
R
PGG
nEnvs
nInds
nIndsSel
height_1st_branch
r
r2
sigmaG
meanG
max.G
cycleLength
i
R
PGG
nEnvs
nInds
nIndsSel
References of methods used
Lush, J. L. (2013). Animal breeding plans. Read Books Ltd.
Mrode, R. A. (2014). Linear models for the prediction of animal breeding values. Cabi.
R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.